Difference between revisions of "Bort"

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{{Bioinformatics application
 
{{Bioinformatics application
 
|sw summary=Bort parses Blast output and quantifies hits by contig and read counts.
 
|sw summary=Bort parses Blast output and quantifies hits by contig and read counts.
|bio domain=RNA-Seq Quantitation
+
|sw logo=File:Image_for_Bort.jpeg
|bio tech=Any,  
+
|bio domain=RNA-Seq quantification
|created by=Benjamin Rieger
+
|bio tech=Any,
 +
|created by=Benjamin Rieger, Steffen Rapp, Hanno Schmidt
 
|created at=Institute of Molecular Genetics, Biosafety Research and Consulting
 
|created at=Institute of Molecular Genetics, Biosafety Research and Consulting
 
Johannes Gutenberg-University Mainz
 
Johannes Gutenberg-University Mainz

Latest revision as of 16:50, 2 December 2015

Application data

Created by Benjamin Rieger, Steffen Rapp, Hanno Schmidt
Biological application domain(s) RNA-Seq quantification
Technology Any
Created at Institute of Molecular Genetics, Biosafety Research and Consulting

Johannes Gutenberg-University Mainz

Maintained? Yes
Input format(s) Standard Blast output
Output format(s) Custom *.txt
Programming language(s) Perl
Operating system(s) any

Summary: Bort parses Blast output and quantifies hits by contig and read counts.

Image for Bort.jpeg

"Error: no local variable "counter" was set." is not a number.

Description

Bort, the Blast Output Refinement Tool, has been written in Perl by Benjamin Rieger at the Institute of Molecular Genetics, Biosafety Research and Consulting at the Johannes Gutenberg-University in Mainz and is permanently getting extended and updated.

Bort's main function is to quantify transcript abundances of a NGS's library by their Blast annotation. Firstly, it parses extensive lists of Blast output and filters them e.g. by e-value to output a more concise overview for further processing. Hits can then be merged by accession number or description and quantified by contig and read count. Some functions are accessible only when using the SwissProt Database for Blastx searches, due to SissProt's high stringency in gene nomenclature. In principle, the quantification depends on counts obtained by overlap-layout-consensus assembly. However, mapping results against de Bruijn graph assemblies could be used easily with a few custom adjustments.


Links

none specified


References

  1. . 2012. Gene


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